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Dr. Donghui (Don) Zhu, Ph.D to learn more about the department/research. Duties: ● Conduct research experiments utilizing specialized techniques, applying theories, concepts and principles in
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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. Candidates seeking to bridge multiple disciplines or bring AI into new scientific/applied domains are particularly encouraged to apply. We will process applications on an ongoing basis until all positions
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer
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Qualifications: Extensive experience in neuropsychological report writing. Relevant coursework in neuroanatomy, neuropsychology, psychometric theory, statistics Demonstration of scholarship in neuropsychology
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer